Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Lulea University of Technology
- Nature Careers
- University of Luxembourg
- University of North Carolina at Chapel Hill
- AALTO UNIVERSITY
- Aarhus University
- ETH Zurich
- European Space Agency
- Forschungszentrum Jülich
- Ghent University
- Harvard University
- KINGS COLLEGE LONDON
- Technical University of Denmark
- The University of Memphis
- University of Central Florida
- University of Lund
- Utrecht University
- 8 more »
- « less
-
Field
-
We are seeking highly motivated applicants for a 1-year postdoctoral position (with the possibility of 1-year extension) in the area of Goal-Oriented Semantic Communication and Edge Intelligence
-
by robots. Navigation: Crafting mapping and navigation solutions that take into account the semantics of complex, real-world environments. AI for Physical Systems: Utilizing AI to boost
-
GeoTrAnsQData at Utrecht University. The project aims to develop theory as well as novel methodology for transformative geographic question answering based on conceptual transformation graphs, semantic workflows
-
reality and mixed reality; data modelling and databases, in particular the spacecraft reference database; semantic modelling in support of digital continuity and semantic interoperability; digital twin
-
About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
-
-of-the-art semantic and instance segmentation algorithms for 3D and 4D microtomography data. The project has a particular focus towards analysing fibre-based materials but will also consider other material
-
, soft actuation Collaborative Sensing, perception and localization - Perception-degraded resilience sensing - Cognitive perception, semantic reasoning Duties The duties of a Postdoc primarily comprise
-
classification and multi-layered environment mapping -Digital twin generation for natural environments -Semantic scene-understanding in natural environments for robust decision-making -Learning-based
-
paradigm shift in the processing, semantic enrichment, representation, exploration, and study of historical media across modalities, time, languages, and national borders. To complete our team in Luxembourg
-
responsible for research regarding how depicting classifier signs become part of the conventionalized lexicon of sign languages, focusing on work related to Dr. Kathryn Davidson’s project on formal semantics